Teaching

I mainly teach at Toulouse INP – ENSEEIHT in the department “Sciences du Numérique“, within the FISE program, and the FISEA program ModIA common with INSA Toulouse.

Since 2018, I also give lectures and labs of Numerical Optimisation in the “Certificat Sciences des Données et Big Data” provided by ToulouseTech.

  • 2021-2022
    • PDE (M2, ModIA): CM, TD, TP.
    • Sequential Data Assimilation (M2, ModIA): TP.
    • Nonsmooth Convex Optimisation (M1, ModIA): CM, TD, TP.
    • Hilbert spaces and applications to Data Analysis (M1): CTD, TP.
    • PDE (M1): CTD, TP.
    • Numerical Optimisation (M1): TP, TD.
    • Scientific Computing (L3): CM, CTD.
  • 2020-2021
    • Nonsmooth Convex Optimisation (M1, ModIA): CM, TD, TP.
    • Hilbert spaces and applications to Data Analysis (M1): CTD, TP.
    • PDE (M1): CTD, TP.
    • Numerical Optimisation (M1): TP, TD.
    • Optimisation for Machine Learning (M1): TP.
    • Scientific Computing (L3): CM, CTD.
    • PDE – Finite differences (L3): CM.
  • 2019-2020
    • Hilbert spaces and applications to Data Analysis (M1): CTD, TP.
    • PDE (M1): CTD, TP.
    • Numerical Optimisation (M1): TP, TD.
    • Optimisation for Machine Learning (M1): TP.
    • Scientific Computing (L3): CM, CTD.
    • PDE – Finite differences (L3): CM.
    • Measure theory and Integral (L3): CM.
  • 2018-2019
    • Hilbert spaces and applications to Data Analysis (M1): CTD, TP.
    • PDE (M1): CTD, TP.
    • Numerical Optimisation (M1): TP, TD.
    • Optimisation for Machine Learning (M1): TP.
    • Linear Algebra for Data Mining (M1): TP.
    • Scientific Computing (L3): CM, CTD, TP.
    • PDE – Finite differences (L3): CM, TD, TP.
    • Measure theory and Integral (L3): TD.
    • Optimisation (L3): TD, TP.
  • 2017-2018
    • Numerical Optimisation (M1): TP, TD.
    • Optimisation for Machine Learning (M1): TP.
    • PDE (M1): TP.
    • PDE – Finite differences (L3): CM, TD, TP.
    • Scientific Computing (L3): CM, CTD, TP.
    • Measure theory and Integral (L3): TD.
    • Optimisation (L3): TD, TP.
  • 2016-2017
    • Numerical Optimisation (M1): TP, TD.
    • Optimisation for Machine Learning (M1): TP.
    • Hilbert spaces (L3): CTD, TP.
    • Numerical Linear Algebra (L3): CM, CTD, TP.
    • Measure theory and Integral (L3): TD.
    • Optimisation (L3): TD, TP.

Thème : Overlay par Kaira. Texte supplémentaire
Le Cap, Afrique du sud